Developed a Simulink-based graphical user interface (GUI) to simulate EPA-standard drive cycles (Urban UDDS and FTP-75) for evaluating the performance of a benchtop dynamometer system integrated with TI C2000 microcontrollers. Modeled vehicle dynamics by converting velocity and grade profiles into corresponding motor speed and torque commands to replicate real-world driving conditions. Implemented sensorless Field-Oriented Control (FOC) for both load and drive motors, enabling validation of control algorithms and hardware response under variable load conditions. Collaborated with Marel Power Solutions to prepare the Simulink framework and GUI for integration with their inverter system in future full-scale dynamometer testing with the Michigan EV Center. 

Selected to participate in a fully sponsored three-day entrepreneurship trek to Washington, D.C. over spring break, organized by the University of Michigan Center for Entrepreneurship. Traveled to meet with 5+ startups including Safire (defense and electric mobility) and Union Kitchen (food business accelerator) and engaged with alumni from leading organizations such as Rivian, Lucid, Deloitte, and NASA. Gained firsthand insight into early-stage startup operations, technology commercialization, product development cycles, and innovation strategy. Strengthened understanding of how engineering, leadership, and entrepreneurship intersect to drive real-world impact. 

Collaborated with industry partners from Leidos and NASA Langley to develop an autonomous algorithm for drone swarm operations, focused on identifying anomalies and completing tasks in a deployed environment. Presented quarterly System Requirements Review (SRR), Preliminary Design Review (PDR), Critical Design Review (CDR), and Flight Readiness Review (FRR) to panels of industry judges from GE Aerospace, RTX, NASA Langley, Reliable Robotics, Collins Aerospace, Lockheed Martin, Boeing, MathWorks, and Leidos. Delivered technical presentations covering system demos, trade studies, risk management, gateway qualifications, budgets, verification and validation, requirements development, and flight testing, contributing to final project scorecards and go/no-go decisions. 

Connected and configured an Oak-D Pro camera (featuring active stereo depth sensing, high-resolution color imaging, and night vision) to detect and localize AprilTags (visual fiducial markers similar to QR codes) using DepthAI ROS2 driver nodes. Developed a dedicated ROS2 localization node that fuses AprilTag-based 3D pose estimates with SLAM odometry data from our LiDAR, enhancing global position accuracy and correcting drift over time. This integrated system enables precise and reliable medium-weight drone localization for coordinated swarm navigation and control. 

Developed a ROS2-based software system for autonomous heavy-weight drone operation and anomaly monitoring. Designed and implemented two coordinates notes: (1) a heavy-weight drone movement node that manages autonomous takeoff, waypoint navigation, and hover positioning using real-time feedback to publish and update target positions; and (2) a task monitoring node that tracks task completion across drone classes, manages sensor-detected anomalies, maintains a live list of unchecked anomalies, and signals mission completion upon full inspection.

Developed a SysML activity diagram in MagicDraw (Cameo Systems Modeler) to represent the communication logic within a drone swarm mesh network. Modeled the sequence of operations including agent identification, connection request and confirmation, and generation of connection status responses. Captured subsequent behaviors where connected nodes receive data frames, accept assigned tasks, and determine payload classifications to execute mission objectives based on drone type. This diagram formalized the swarm’s autonomous coordination workflow under the B.A.T.M.A.N.-adv communication framework, supporting analysis of network reliability and task distribution logic. 

Integrated BLDC motor dynamics, distance sensing, and PID control using Arduino and MATLAB/Simulink. Calibrated a SharpIR distance sensor to accurately measure motor carriage displacement, and characterized motor power output versus throttle to define safe operational limits. Developed and implemented a discrete PID controller on the Arduino to regulate motor position, including code for sensor reading, PID computation, PWM output, and emergency shutdown. Tuned the physical system, captured performance metrics (rise time, overshoot, settling time), and correlated results with the Simulink model, refining model parameters to better match real-world behavior. 

Performed a finite element analysis (FEA) on a propeller blade using Siemens NX NASTRAN to evaluate structural integrity under aerodynamic pressure loads obtained from STAR-CCM+ simulations at 15,000 RPM. Applied cyclic symmetry, rotational loading, and aluminum 6061 material properties to model realistic blade behavior. Generated stress and displacement contours to assess deformation and ensure the blade’s mechanical stability. 

Designed and assembled a basic LED circuit using a breadboard, resistor, and Arduino Uno to analyze voltage regulation and circuit behavior. Measured component resistance, voltage drops, and current using a digital multimeter, verifying Ohm’s Law and ensuring correct polarity and continuity. Compared Arduino’s regulated 5 V output with a benchtop power supply in both constant voltage and constant current modes, assessing performance differences in real-world circuit operation.

Utilized Bambu Lab X1 Carbon Combo and MakerBot Method X 3D printers to fabricate CAD-designed 3-blade propellers and Raspberry Pi enclosures for lightweight autonomous drones. Optimized print orientation, infill density, and material selection for aerodynamic performance and structural integrity. Integrated additive manufacturing and mechanical design workflows to prototype components supporting drone swarm integration and system testing. 

Conducted quality and safety assessments by reviewing Certificates of Analysis (CoAs) and Safety Data Sheets (SDSs), ensuring chemical compound complied with regulatory requirements and internal quality standards. 

Investigated a tablet press assembly issue involving mismatched punch and die components, where the received parts failed to meet the specified tolerances. Analyzed engineering drawings and applied Geometric Dimensioning and Tolerancing (GD&T) principles to diagnose dimensional discrepancies, gaining hands-on experience with manufacturing precision and design verification.

Weighted and blended chemical compounds to evaluate powder formula efficacy. Conducted Brinell hardness testing on detergent tablets to ensure the met consistent and desired properties. Collaborated with Chief Innovation Officer Syed Naqvi from Shark Tank-featured company Blueland to support product delivery.

Designed and created pallet production paperwork using BarTender software to optimize workflow efficiency, integrating dynamic data fields connected to external Excel databases to reduce human labeling errors.

Developed clear and concise work instructions for automated manufacturing equipment, including assembly line filling, packaging systems, and tablet presses, integrating safety protocols and calibration procedures to improve operational accuracy and performance. 

*Sample image shown for illustration; work not created by me.

Constructed and managed Excel spreadsheets to collect and analyze production and temperature data, using charts and visual reports to calculate averages and identify performance trends. Monitored indoor temperature stability and vapor emissions over a six-month period following roof insulation installation, quantifying a 5–10% reduction in vapor emissions attributed to improved temperature regulation and consistent indoor conditions. 

*Sample image shown for illustration; work not created by me.

Developed proficiency in cross-country flight planning by constructing full navigation logs and optimizing routing for multi-leg VFR operations. Gained experience interpreting sectional charts, terminal area charts, and airport diagrams to evaluate terrain features, airspace boundaries, obstacle elevations, and available navigation aids. Applied regulatory knowledge of Class A, B, C, D, E, and G airspace to ensure compliant routing with respect to entry requirements, communication procedures, and transponder protocols. Utilized VOR radial tracking, GPS waypoint navigation, and wind-triangle methods to compute headings, wind-correction angles, groundspeed, and fuel burn estimates. Integrated METARs, TAFs, winds aloft, and NOTAMs into planning decisions to assess route viability and operational risk. 

Built in-depth understanding of key aircraft systems, including propulsion, electrical, fuel, control surfaces, and instrumentation, with a focus on reliability and safety. Studied aerodynamic principles such as lift, drag, thrust, stability, and control, and their influence on aircraft handling, stall recovery, and maneuvering capabilities. Performed flight performance calculations addressing load distribution, weight & balance, center of gravity, and density altitude effects to determine safe operating parameters. Computed takeoff and landing distances and predicted aircraft performance across varying environmental and loading conditions.

Demonstrated comprehensive knowledge of Federal Aviation Regulations governing private pilot operations, with focus on Parts 61 (pilot certification) and 91 (general operating and flight rules). Applied regulatory standards to ensure proper aircraft documentation, maintenance and inspection compliance, and safe operating practices.  

Collaborated with the Aerodynamics and Recovery Team to design the fin for Limelight, MASA’s single-stage, regeneratively cooled sounding rocket, utilizing Siemens NX for 3D CAD modeling. Conducted comprehensive finite element analysis (FEA) in ANSYS Mechanical to assess stress distribution, deformation, vibration modes, and safety factors under simulated aerodynamic and launch loads. Interpreted simulation results to iteratively refine geometry, optimize material selection, and enhance strength-to-weight performance. Worked closely with manufacturing leads to ensure design feasibility for machining and assembly, supporting successful integration into the rocket.

Collaborated with over 400 members to deliver precise, high-energy performances at major events, including the 2023 B1G Championship, 2024 Rose Bowl, 2024 National Championship, Bands of America 2024, 2024 ReliaQuest Bowl, Detroit Lions vs. Tampa Bay Buccaneers 2025 Halftime Show, and 2023, 2024, 2025 Band-O-Rama at Hill Auditorium. Dedicated 10–25 hours weekly to rehearsals, events, and game days, demonstrating discipline, teamwork, and commitment. Regular rehearsals ran from 4–6:15 PM Monday–Thursday (5–8 PM on Fridays during game weeks), with Saturday game days involving up to 11 hours of rehearsal and performance. 

Served as a instructional aide for a course with ~900 students, providing 10 hours weekly of office hours, exam proctoring, and leading lab sections of 26 students. Supported students with C++ and MATLAB programming, including debugging, clarifying core concepts, and strengthening problem-solving skills. Guided students through assessment reviews, homework, lab assignments, and project help across a four-project sequence (two in MATLAB and two in C++). Collaborated in weekly staff meetings to identify common student challenges and contributed to streamlining course instruction.